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Activity Number:
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532
- Can Statistics Inform Decisions in Social, Economic, and Political Event?
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2018 : 10:30 AM to 12:20 PM
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Sponsor:
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Social Statistics Section
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Abstract #328322
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Presentation
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Title:
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Identifying Farming Practices and Characteristics Associated with Higher Incomes for Smallholder Farms in Kibaale District, Uganda
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Author(s):
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Yew-Meng Koh*
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Companies:
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Hope College
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Keywords:
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smallholder farms;
Kibaale district, Uganda;
LASSO;
Random forests;
farm income prediction
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Abstract:
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A study on actual and emerging indigenous knowledge and practices implemented by smallholder farmers was carried out in three sub-counties of Kibaale District in Uganda. Using the data collected from this study and various Statistical Learning methods, we identify salient features and implemented practices on these farms which are most useful in predicting farm income. The prediction accuracy of these methods is compared, and a recommendation is obtained from the model with highest prediction accuracy for the farming practices which lead to the greatest likelihood of high farm incomes.
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Authors who are presenting talks have a * after their name.
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